Florida State University Researchers Develop Modeling Framework to Filter Internal Tide Interference from Satellite Ocean Data

Researchers from Florida State University and their collaborators have developed a new modeling framework designed to improve the accuracy of high-resolution satellite measurements of ocean surface dynamics. The study, published in *Science Advances*, introduces a method that isolates and accounts for the interference caused by kilometer-scale internal tides, which have historically complicated the interpretation of satellite data.

This modeling approach addresses a persistent technical challenge in satellite oceanography by distinguishing between surface signals and the underlying movement of internal tides. By filtering out these specific underwater disturbances, the researchers aim to provide a clearer view of ocean surface conditions. The team developed this framework to refine how scientists process data from orbital sensors, potentially increasing the precision of global ocean observations.

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Date: June 3, 2026

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